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Itä-Suomen yliopisto

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  • Metadata: 3/5

    Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspo...

    The database has been used in the first Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015). Genuine speech is collected from 106 speakers (45 male, 61 female) and with no significant channel or background noise effects. Spoofed speech is generated from the genuine data using a number of different spoofing algorithms. The...
  • Metadata: 3/5

    The Voice Conversion Challenge 2018: database and results

    Voice conversion (VC) is a technique to transform a speaker identity included in a source speech waveform into a different one while preserving linguistic information of the source speech waveform. In 2016, we have launched the Voice Conversion Challenge (VCC) 2016 at Interspeech 2016. The objective of the 2016 challenge was to better understand...
  • Metadata: 3/5

    The 2nd Automatic Speaker Verification Spoofing and Countermeasures Challenge...

    This is a database used for the Second Automatic Speaker Verification Spoofing and Countermeasuers Challenge, for short, ASVspoof 2017 (http://www.asvspoof.org) organized by Tomi Kinnunen, Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Nicholas Evans, Junichi Yamagishi, Kong Aik Lee in 2017. The ASVspoof challenge aims to encourage further progress...